The swift-lda package

[ Tags: bsd3, library, natural-language-processing ] [ Propose Tags ]

Online Gibbs sampler for Latent Dirichlet Allocation. LDA is a generative admixture model frequently used for topic modeling and other applications. The primary goal of this implementation is to be used for probabilistic soft word class induction. The sampler can be used in an online as well as batch mode. This package uses an imperative implementation in the ST monad.


[Skip to Readme]

Properties

Versions 0.4.0, 0.4.1, 0.7.0.0
Dependencies array (>=0.3), base (>=3 && <5), containers (>=0.4), ghc-prim (>=0.2), mwc-random (>=0.12), primitive (>=0.4), vector (>=0.9) [details]
License BSD3
Author Grzegorz Chrupała <pitekus@gmail.com>
Maintainer Grzegorz Chrupała <pitekus@gmail.com>
Category Natural Language Processing
Home page https://bitbucket.org/gchrupala/colada
Uploaded Wed Mar 26 08:49:29 UTC 2014 by GrzegorzChrupala
Distributions NixOS:0.7.0.0
Downloads 750 total (4 in the last 30 days)
Rating 0.0 (0 ratings) [clear rating]
  • λ
  • λ
  • λ
Status Docs available [build log]
Successful builds reported [all 1 reports]
Hackage Matrix CI

Modules

[Index]

Downloads

Maintainer's Corner

For package maintainers and hackage trustees


Readme for swift-lda-0.7.0.0

[back to package description]